More MCQs and More assignments would be of more help.

Better than the first course because of more topics

More quizzes can be added during the video

Decent introduction, hand-wavy at times

I need more projects to practice on it

less coding part in videos of week 4

Very Useful But only theoretical

good course for machine learning

try to inclube more math

Bugs in assignment

Nice course for ML

Great course

Much Thanks

Great!

good

good

It was a great intro but I found some of it to be a bit surface level in this course compared to the other courses and decision trees seem to be very impactful. For example, I would like more depth on things like how to properly evaluate the performance of decision trees and how one might use that analysis to optimize. The neural network courses we used cross validation and variance and bias to create ways to pursue effective next steps. Overall it was a great crash course, but I feel I have a lot more studying to do here and it might have been nicer to spend another couple hours in the course touching on some deeper topics.

The NN explanation was very bad. I think Andrej Karpathy did a much better job at doing that. I actually watched that first and then this course and it made lots of sense to me.

menurut saya lebih banyak ke konsep sebaiknya perbanyak dalam code misal dalam vidio menjelaskan code dan consep secara bersamaan agar lebih mudah

Very good at the begining. But a little borrowing in week 4.

I learnrd many skills. Thank you

I believe if there are more practices and much challenging ones it would be more beneficial.

Este fue más práctico pero igual, mucha teoría, poca práctica

Excellent content except for decision trees

good

BON